Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning
- Zehao Niu
- Mihai Anitescu
- et al.
- 2023
- ICLR 2023
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23 results for Jie Chen
Parallel and Distributed Asynchronous Adaptive Stochastic Gradient Methods
- Yangyang Xu
- Yibo Xu
- et al.
- 2023
- Mathematical Programming Computation
A Decentralized Primal-Dual Framework for Non-convex Smooth Consensus Optimization
- Gabriel Mancino-ball
- Yangyang Xu
- et al.
- 2023
- IEEE TSP
c-MBA: Adversarial Attack for Cooperative MARL Using Learned Dynamics Model
- Nhan Pham
- Lam Nguyen
- et al.
- 2022
- NeurIPS 2022
Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining
- Tim Kaler
- Nickolas Stathas
- et al.
- 2022
- MLSys 2022
Data-Efficient Graph Grammar Learning for Molecular Generation
- Minghao Guo
- Veronika Thost
- et al.
- 2022
- ICLR 2022
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks
- Ruchir Puri
- David Kung
- et al.
- 2021
- NeurIPS 2021
Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models
- Xiao Zang
- Yi Xie
- et al.
- 2021
- IJCAI 2021
Discrete Graph Structure Learning for Forecasting Multiple Time Series
- Chao Shang
- Jie Chen
- et al.
- 2021
- ICLR 2021
Directed Acyclic Graph Neural Networks
- 2021
- ICLR 2021